Intro 2 AI - advanced - 2021 class

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Very important: due to a strong response in the community, we are splitting the class in 2 sessions. This page is for the advanced session, appropriate for students with prior training in Maths, Engineering and/or Computer Science. If you are here by mistake, go to [the main/standard session page].

Note: the entire course this year is by visio-conference!!

Schedule (click on each lecture for details)

Topic Lecture # Teacher Sub-topic Date Time
Symbolic AI Lecture 1 Emiliano Lorini Symbolic AI: History and Foundations March 19 5-7pm
Neural Networks Lecture 2 A. Zerroug & A. Ben Tanfous Neural Networks: History and Foundations March 23 5-7pm
Computer Vision Lecture 3 Mohit Vaishnav Image classification March 26 5-7pm
Computer Vision Lecture 4 Benjamin Devillers Unsupervised/zero/few-shot learning March 30 5-7:30pm
Computer Vision Lecture 5 Colin Decourt Object detection, segmentation April 8 5-7pm
NLP Lecture 6 Chloe Braud Natural Language Processing basics April 14 5-7pm
NLP Lecture 7 Romain Bielawski Recurrent Neural Networks for NLP April 19 5-7pm
NLP Lecture 8 Romain Bielawski Attention/Transformers in NLP April 22 5-7pm
Computer Vision Lecture 9 Mohit Vaishnav Visual Reasoning April 29 5-7pm
Audio Lecture 10 Ismail Khalfaoui Sound processing, speech recognition May 4 5-7pm
DL/Neuro Lecture 11 Rufin VanRullen Homologies between brain & CNNs May 11 5-7pm
DL/Neuro Lecture 12a Ismail Khalfaoui Spiking neural networks May 18 5-6pm
DL/Neuro Lecture 12b Leila Reddy Brain decoding with Machine Learning May 18 6-7pm

Audience

This class, provided by ANITI, is intended for a M2-level audience with no AI or machine learning training, but with some background in Computer Science, Engineering or Maths. The classes will be in English, and there will be a mixture of lectures and practical work (TP), with at-home assignments. For the practical parts, prior experience with Python programming will be required.

If you need a refresher on the basics of Python programming before starting our class, you can try [this course], [this one] or [this one].

Similarly, if you’d like to brush up math concepts that are relevant to modern AI, you could check [this blog] or [this one], or [this two-hour video] or [this one].

Registration

Priority is given to M2 students from Universite de Toulouse. The classes are open to other interested participants from ANITI or outside, based on availability.

To pre-register for the class, it is mandatory to sign up with the following form:

Registration form

Once registered, you will receive the visio-conference links for each class.

Grading

The class is offered in 2021 as an off-curriculum optional course. There will be no grades and no exams.

We may deliver a certificate of attendance if you need one; however, this should be mentioned when you register, and in that case we will monitor your attendance, including participation in at-home assignments.